The Trust Layer for the World's AI. Data Lineage & Verified Context.
Enterprise AI security for production LLMs. Real-time data lineage and verified context that prevents AI inaccuracies and data leakage. Built on a blockchain SSOT®.
99%
of organizations have sensitive data exposed to AI tools.
Varonis, 2025
95%
of generative AI investments have produced zero return.
400+
6%
The Problem
AI has arrived. Trust hasn't.
Enterprises adopted AI faster than they built the data foundation under it. Three failure modes follow, and each one keeps production AI from shipping.
Failure Mode 01
Data Leakage
LLMs ingest, train, and respond on enterprise data without permission or guardrails. No DRM. No kill switch. Every breach becomes an AI training breach.
97%
Inaccurate Data
Without validation and governance, AI insights can’t be trusted for critical decisions. Hallucinations create scientific, regulatory, and revenue risk.
56%
Fragmentation
Data spread across cloud, on-prem, and third-party systems means no unified layer, no holistic decisions, and no defensible AI.
30%
A trust layer for AI, with data lineage at the core.
A blockchain-backed Single Source of Truth® validates every AI output against trusted source data, with full lineage, verified context, and real-time tracking.
Verifiable
Outputs cryptographically validated against trusted source data. No hallucinations shipped to a decision.
Data Lineage
The provable record of where data came from, how it changed, and which outputs it touched. The cover-line of the brand.
Traceable
Every insight links back to its sources through on-chain tokenized provenance. Full custody chain.
Audit-Ready
Decisions captured with immutable, regulator-grade evidence. HIPAA, GDPR, FDA, EU AI Act.
LLM-Agnostic
Works with whichever model the enterprise bets on next quarter. Plug-and-play, API-first.
Every AI output is verifiable. Every insight has full data lineage. Every decision is audit-ready.
Run AI as infrastructure, not a science project.
Mithra grounds every output in a verified Single Source of Truth, so teams act on proof instead of a model’s best guess.